CAPE: combinatorial absolute phase estimation
نویسندگان
چکیده
منابع مشابه
CAPE: combinatorial absolute phase estimation.
An absolute phase estimation algorithm for interferometric applications is introduced. The approach is Bayesian. Besides coping with the 2pi-periodic sinusoidal nonlinearity in the observations, the proposed methodology assumes a first-order Markov random field prior and a maximum a posteriori probability (MAP) viewpoint. For computing the MAP solution, we provide a combinatorial suboptimal alg...
متن کاملCAPE: combinatorial absolute phase estimation Technical report, IT/IST Communications theory and Pattern Recognition Group
This paper introduces an absolute phase estimation algorithm for interferometric applications. The approach is Bayesian. Besides coping with the 2π-periodic sinusoidal non-linearity in the observations, the proposed methodology assumes a first order Markov random field (MRF) prior and a maximum a posteriori probability (MAP) viewpoint. For computing the MAP solution, we provide a combinatorial ...
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ژورنال
عنوان ژورنال: Journal of the Optical Society of America A
سال: 2009
ISSN: 1084-7529,1520-8532
DOI: 10.1364/josaa.26.002093